Quantifying how urban landscape heterogeneity affects land surface temperature at multiple scales

Abstract Background Landscape metrics have been widely applied to quantifying the relationship between land surface temperature and urban spatial patterns received acceptable verification from landscape ecologists but some studies shown their inaccurate results. The objective of study is compare texture-based measures as alternative indices in measuring heterogeneity effects on LST at multiple scales. Results statistical results showed that correlation increased extent (scale) under-study landscapes increased. Overall, less fragmented, more complex, larger, higher number patches, lower LST. most significant was seen edge density (ED) ( r = − 0.47) sub-region scale. Texture a stronger R 2 34.84% average) with than 15.33% all scales, meaning these had greater ability describe metrics. Conclusion This suggests for overcoming shortcomings estimating variations gives managers planners new insights into design.